python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust Python applications.
- Covers core principles including readability, explicit code, EAFP exception handling, and modern type hints with generics and protocols
- Includes practical patterns for error handling, context managers, comprehensions, generators, dataclasses, and decorators with runnable examples
- Addresses concurrency patterns for I/O-bound (threading, async/await) and CPU-bound (multiprocessing) tasks, plus memory optimization techniques
- Provides package organization standards, import conventions, tooling integration (black, ruff, mypy, pytest), and anti-patterns to avoid
Python Development Patterns
Idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications.
When to Activate
- Writing new Python code
- Reviewing Python code
- Refactoring existing Python code
- Designing Python packages/modules
Core Principles
1. Readability Counts
Python prioritizes readability. Code should be obvious and easy to understand.
# Good: Clear and readable
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